AceCloud vs Beam
Compare GPU pricing, features, and specifications between AceCloud and Beam cloud providers. Find the best deals for AI training, inference, and ML workloads.
AceCloud
Provider 1
Beam
Provider 2
Comparison Overview
GPU Pricing Comparison
Features Comparison
AceCloud
Beam
- Pay-per-millisecond Billing
Only charged when your code runs, no charges for cold starts or server spin-up
- Sub-second Cold Starts
Fast function initialization with checkpoint restore technology
- Sandbox Snapshots
Snapshot and restore sandbox state for faster deployments
- Autoscaling
Automatic scaling based on demand with deployment logs included
- Custom Docker Images
Bring your own Docker images for full environment control
- Open Source
Core engine (beta9) is open-source and can be self-hosted
Pros & Cons
AceCloud
Advantages
- Wide range of NVIDIA GPUs (L4, A30, RTX A6000, L40S, A100, H100, H200)
- On-demand billing with instance hibernation for cost optimization
- 10+ global data centers in India and USA
- ISO-27001 certified with 99.99% uptime SLA
Considerations
- Limited data center presence outside India and USA
- Newer player in the global cloud market
- Primarily focused on Indian market
Beam
Advantages
- Pay-per-millisecond billing with no charges for cold starts
- Sub-second cold starts with checkpoint restore
- Up to 80% savings compared to always-on instances
- Open-source core engine (beta9) available for self-hosting
Considerations
- Smaller GPU selection compared to major cloud providers
- Newer platform with smaller community
- Focused primarily on serverless workloads
Compute Services
AceCloud
Beam
Pricing Options
AceCloud
Beam
Getting Started
AceCloud
Beam
- 1
Create an account
Sign up on the Beam platform
- 2
Set up Python environment
Create a virtual environment and install the Beam SDK
- 3
Authenticate with API token
Configure your API token to connect to Beam
Support & Global Availability
AceCloud
Beam
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